Aleksandar Lazarevic

According to our database1, Aleksandar Lazarevic authored at least 37 papers between 1999 and 2010.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Bibliography

2010
Classification of LIBS Protein Spectra Using Multilayer Perceptrons.
Trans. Mass-Data Analysis of Images and Signals, 2010

Unsupervised Learning Based Distributed Detection of Global Anomalies.
International Journal of Information Technology and Decision Making, 2010

Classification of LIBS protein spectra using support vector machines and adaptive local hyperplanes.
Proceedings of the International Joint Conference on Neural Networks, 2010

2009
Data Mining in Security Applications.
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

Data Mining for Structural Health Monitoring.
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

Theoretically Optimal Distributed Anomaly Detection.
Proceedings of the ICDM Workshops 2009, 2009

Detection of moving objects using incremental connectivity outlier factor algorithm.
Proceedings of the 47th Annual Southeast Regional Conference, 2009

2008
Autonomous grid scheduling using probabilistic job runtime forecasting.
PhD thesis, 2008

An adaptive partitioning approach for mining discriminant regions in 3D image data.
J. Intell. Inf. Syst., 2008

Incremental Connectivity-Based Outlier Factor Algorithm.
Proceedings of the Visions of Computer Science, 2008

2007
Managing Uncertainty: A Case for Probabilistic Grid Scheduling
CoRR, 2007

Enabling Adaptive Grid Scheduling and Resource Management
CoRR, 2007

Self-Organising management of Grid environments
CoRR, 2007

A Study of Grid Applications: Scheduling Perspective
CoRR, 2007

Measuring and Monitoring Grid Resource Utilisation
CoRR, 2007

Resource and Application Models for Advanced Grid Schedulers
CoRR, 2007

Outlier Detection with Kernel Density Functions.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2007

Incremental Local Outlier Detection for Data Streams.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2007

2005
Applying spatial distribution analysis techniques to classification of 3D medical images.
Artificial Intelligence in Medicine, 2005

Feature bagging for outlier detection.
Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2005

2004
Extraction of Discriminative Functional MRI Activation Patterns and an Application to Alzheimer's Disease.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2004, 2004

Effective localized regression for damage detection in large complex mechanical structures.
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

2003
A Comparative Study of Anomaly Detection Schemes in Network Intrusion Detection.
Proceedings of the Third SIAM International Conference on Data Mining, 2003

SMOTEBoost: Improving Prediction of the Minority Class in Boosting.
Proceedings of the Knowledge Discovery in Databases: PKDD 2003, 2003

Localized Prediction of Continuous Target Variables Using Hierarchical Clustering.
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

Damage prediction in structural mechanics using partitioning approach.
Proceedings of the Data Mining and Knowledge Discovery: Theory, 2003

2002
Knowledge Discovery in Multiple Spatial Databases.
Neural Computing and Applications, 2002

Boosting Algorithms for Parallel and Distributed Learning.
Distributed and Parallel Databases, 2002

Effective classification of 3D image data using partitioning methods.
Proceedings of the Visualization and Data Analysis 2002, 2002

2001
Adaptive boosting techniques in heterogeneous and spatial databases.
Intell. Data Anal., 2001

Boosting Localized Classifiers in Heterogeneous Databases.
Proceedings of the First SIAM International Conference on Data Mining, 2001

Data Reduction Using Multiple Models Integration.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2001

The distributed boosting algorithm.
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, 2001

2000
Adaptive Boosting for Spatial Functions with Unstable Driving Attributes.
Proceedings of the Knowledge Discovery and Data Mining, 2000

A Software System for Spatial Data Analysis and Modeling.
Proceedings of the 33rd Annual Hawaii International Conference on System Sciences (HICSS-33), 2000

Distributed clustering and local regression for knowledge discovery in multiple spatial databases.
Proceedings of the ESANN 2000, 2000

1999
Clustering-regression-ordering steps for knowledge discovery in spatial databases.
Proceedings of the International Joint Conference Neural Networks, 1999


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